The purpose of this paper is to show how data mining may offer promise as a strategy for discovering and building alternative representations for the data underlying asynchronous discussion forums. Presently, the instructor’s view of the output of a threaded forum is limited to reviewing a transcript or print version of the written dialogue produced by participants. With potentially hundreds of...

Part of network management is collecting information about the activities that go on around a distributed system and analyzing it in real time, at a deferred moment, or both. The reason such information may be stored in log files and analyzed later is to data-mine it so that interesting, unusual, or abnormal patterns can be discovered. In this paper we propose defining patterns in network activ...

With the growth in the amount of data generated and collected, the need for automatically analyzing the data has received more and more attention from the business community in recent times. It requires some theoretical considerations, which are well understood and popularized throughout the community. The traditional dominant KDD process model offers valuable guidance on the projectedmanagemen...

prolactin is mainly secreted by the anterior pituitary and is able to stimulate mammary gland development and lactation in mammalians. although prolactins share a common ancestral gene encoding, they show species specific characteristics and their efficiency may be different in various mammals. the importance of protein structures of all sequences of this hormone have been studied by various bi...

Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting sequential patterns, such as the multi-sequential patterns, whose specification needs a more expressive formalism, the first-order temporal logic. In this paper, we extend a well-known user-controlled tool, based on regular ...

The research field of data mining has developed sophisticated methods for identifying patterns in data in order to provide insights to users. Identifying temporal relationships (e.g., trends) in data constitutes an important problem that is relevant in many business and academic settings, and the data mining literature has provided analytical techniques for some specialized types of temporal da...

Organizations and firms are increasingly capturing more data about their customers, suppliers, competitors, and business environment. Most of this data is multi-attribute (multi-dimensional) and temporal in nature. Data mining and business intelligence techniques are typically used to discover patterns in this data; however, mining meaningful temporal relationships is often difficult. We introd...

background and purpose: kidney failure reduces the kidney function and in long term it leads to chronic kidney disease. one of the main complications of this disease is irreversible damage to the kidneys (end-stage kidney disease) and hemodialysis is the main method used to treat advanced kidney failure. the main problem associated with hemodialysis is treating anemia caused by lack of erythrop...

abstract precipitation is an important variable which is used in definition of drought. based on precipitation amounts, some indices are devised for drought monitoring including, the standardized precipitation index (spi) and the standard index of annual precipitation (siap). each of these drought indices are classified into some classes so that each class descripts a given severity of drought....

the rapid growing of information technology (it) motivates and makes competitive advantages in health care industry. nowadays, many hospitals try to build a successful customer relationship management (crm) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. many hospitals have large data warehouses containing customer ...